| Universal Decompositional Semantics on Universal Dependencies AS White, D Reisinger, K Sakaguchi, T Vieira, S Zhang, R Rudinger, ... Empirical Methods in Natural Language Processing, 2016 | 182 | 2016 |
| Reasoning about quantities in natural language S Roy, T Vieira, D Roth Transactions of the Association for Computational Linguistics 3, 1-13, 2015 | 175 | 2015 |
| If beam search is the answer, what was the question? C Meister, T Vieira, R Cotterell arXiv preprint arXiv:2010.02650, 2020 | 136 | 2020 |
| Best-first beam search C Meister, T Vieira, R Cotterell Transactions of the Association for Computational Linguistics 8, 795-809, 2020 | 73 | 2020 |
| Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009 | 59 | 2009 |
| A Joint Model of Orthography and Morphological Segmentation R Cotterell, T Vieira, H Schütze NAACL, 2016 | 56 | 2016 |
| Gumbel-max trick and weighted reservoir sampling, 2014 T Vieira https://timvieira.github.io/blog/post/2014/08/01/gumbel-max-trick-and …, 2014 | 29* | 2014 |
| The universal decompositional semantics dataset and decomp toolkit AS White, E Stengel-Eskin, S Vashishtha, V Govindarajan, DA Reisinger, ... arXiv preprint arXiv:1909.13851, 2019 | 28 | 2019 |
| Learning to prune: Exploring the frontier of fast and accurate parsing T Vieira, J Eisner Transactions of the Association for Computational Linguistics 5, 263-278, 2017 | 18 | 2017 |
| Direct preference optimization with an offset A Amini, T Vieira, R Cotterell arXiv preprint arXiv:2402.10571, 2024 | 16 | 2024 |
| A formal perspective on byte-pair encoding V Zouhar, C Meister, JL Gastaldi, L Du, T Vieira, M Sachan, R Cotterell arXiv preprint arXiv:2306.16837, 2023 | 13 | 2023 |
| Conditional Poisson stochastic beams CI Meister, A Amini, T Vieira, R Cotterell Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 12* | 2021 |
| Estimating means in a finite universe, 2017 T Vieira URL https://timvieira. github. io/blog/post/2017/07/03/estimating-means-in-a …, 2017 | 12* | 2017 |
| Please mind the root: Decoding arborescences for dependency parsing R Zmigrod, T Vieira, R Cotterell arXiv preprint arXiv:2010.02550, 2020 | 11 | 2020 |
| Dyna: Toward a self-optimizing declarative language for machine learning applications T Vieira, M Francis-Landau, NW Filardo, F Khorasani, J Eisner Proceedings of the 1st ACM SIGPLAN International Workshop on Machine …, 2017 | 11 | 2017 |
| Speed-accuracy tradeoffs in tagging with variable-order CRFs and structured sparsity T Vieira, R Cotterell, J Eisner Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 11 | 2016 |
| Grammarless parsing for joint inference J Naradowsky, T Vieira, DA Smith Proceedings of COLING 2012, 1995-2010, 2012 | 10 | 2012 |
| On Finding the -best Non-projective Dependency Trees R Zmigrod, T Vieira, R Cotterell arXiv preprint arXiv:2106.00780, 2021 | 9 | 2021 |
| Efficient computation of expectations under spanning tree distributions R Zmigrod, T Vieira, R Cotterell Transactions of the Association for Computational Linguistics 9, 675-690, 2021 | 8 | 2021 |
| Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations JE Matthew Francis-Landau, Tim Vieira Workshop on rewriting logic and its applications, 2020 | 6* | 2020 |
Ryan CotterellETH Zürich在 inf.ethz.ch 的电子邮件经过验证
